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      Environmental DNA (eDNA) metabarcoding assays to detect invasive invertebrate species in the Great Lakes

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      PLoS ONE
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          Abstract

          Describing and monitoring biodiversity comprise integral parts of ecosystem management. Recent research coupling metabarcoding and environmental DNA (eDNA) demonstrate that these methods can serve as important tools for surveying biodiversity, while significantly decreasing the time, expense and resources spent on traditional survey methods. The literature emphasizes the importance of genetic marker development, as the markers dictate the applicability, sensitivity and resolution ability of an eDNA assay. The present study developed two metabarcoding eDNA assays using the mtDNA 16S RNA gene with Illumina MiSeq platform to detect invertebrate fauna in the Laurentian Great Lakes and surrounding waterways, with a focus for use on invasive bivalve and gastropod species monitoring. We employed careful primer design and in vitro testing with mock communities to assess ability of the markers to amplify and sequence targeted species DNA, while retaining rank abundance information. In our mock communities, read abundances reflected the initial input abundance, with regressions having significant slopes (p<0.05) and high coefficients of determination (R 2) for all comparisons. Tests on field environmental samples revealed similar ability of our markers to measure relative abundance. Due to the limited reference sequence data available for these invertebrate species, care must be taken when analyzing results and identifying sequence reads to species level. These markers extend eDNA metabarcoding research for molluscs and appear relevant to other invertebrate taxa, such as rotifers and bryozoans. Furthermore, the sphaeriid mussel assay is group-specific, exclusively amplifying bivalves in the Sphaeridae family and providing species-level identification. Our assays provide useful tools for managers and conservation scientists, facilitating early detection of invasive species as well as improving resolution of mollusc diversity.

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          Most cited references34

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          A DNA barcode for land plants.

          DNA barcoding involves sequencing a standard region of DNA as a tool for species identification. However, there has been no agreement on which region(s) should be used for barcoding land plants. To provide a community recommendation on a standard plant barcode, we have compared the performance of 7 leading candidate plastid DNA regions (atpF-atpH spacer, matK gene, rbcL gene, rpoB gene, rpoC1 gene, psbK-psbI spacer, and trnH-psbA spacer). Based on assessments of recoverability, sequence quality, and levels of species discrimination, we recommend the 2-locus combination of rbcL+matK as the plant barcode. This core 2-locus barcode will provide a universal framework for the routine use of DNA sequence data to identify specimens and contribute toward the discovery of overlooked species of land plants.
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            Is Open Access

            Detection of a Diverse Marine Fish Fauna Using Environmental DNA from Seawater Samples

            Marine ecosystems worldwide are under threat with many fish species and populations suffering from human over-exploitation. This is greatly impacting global biodiversity, economy and human health. Intriguingly, marine fish are largely surveyed using selective and invasive methods, which are mostly limited to commercial species, and restricted to particular areas with favourable conditions. Furthermore, misidentification of species represents a major problem. Here, we investigate the potential of using metabarcoding of environmental DNA (eDNA) obtained directly from seawater samples to account for marine fish biodiversity. This eDNA approach has recently been used successfully in freshwater environments, but never in marine settings. We isolate eDNA from ½-litre seawater samples collected in a temperate marine ecosystem in Denmark. Using next-generation DNA sequencing of PCR amplicons, we obtain eDNA from 15 different fish species, including both important consumption species, as well as species rarely or never recorded by conventional monitoring. We also detect eDNA from a rare vagrant species in the area; European pilchard (Sardina pilchardus). Additionally, we detect four bird species. Records in national databases confirmed the occurrence of all detected species. To investigate the efficiency of the eDNA approach, we compared its performance with 9 methods conventionally used in marine fish surveys. Promisingly, eDNA covered the fish diversity better than or equal to any of the applied conventional methods. Our study demonstrates that even small samples of seawater contain eDNA from a wide range of local fish species. Finally, in order to examine the potential dispersal of eDNA in oceans, we performed an experiment addressing eDNA degradation in seawater, which shows that even small (100-bp) eDNA fragments degrades beyond detectability within days. Although further studies are needed to validate the eDNA approach in varying environmental conditions, our findings provide a strong proof-of-concept with great perspectives for future monitoring of marine biodiversity and resources.
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              “Sight-unseen” detection of rare aquatic species using environmental DNA

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 May 2017
                2017
                : 12
                : 5
                : e0177643
                Affiliations
                [001]Great Lakes Genetics/Genomics Laboratory, Department of Environmental Sciences, University of Toledo, Toledo, OH, United States of America
                University of Hyogo, JAPAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: CAS KEK NTM.

                • Data curation: CAS NTM.

                • Formal analysis: KEK NTM.

                • Funding acquisition: CAS.

                • Investigation: KEK NTM CAS.

                • Methodology: KEK NTM CAS.

                • Project administration: CAS KEK.

                • Resources: CAS.

                • Software: KEK NTM.

                • Supervision: CAS.

                • Validation: KEK NTM CAS.

                • Visualization: KEK NTM CAS.

                • Writing – original draft: KEK NTM CAS.

                • Writing – review & editing: KEK NTM CAS.

                [¤a]

                Current address: U.S. Geological Survey, Columbia Environmental Research Center, Columbia, MO, United States of America

                [¤b]

                Current address: NOAA Pacific Marine Environmental Laboratory (PMEL), Seattle, WA, United States of America

                Author information
                http://orcid.org/0000-0002-5544-4333
                Article
                PONE-D-17-02880
                10.1371/journal.pone.0177643
                5436814
                28542313
                8655303e-03ea-4cf9-a07e-fc4ae6afe239

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 21 January 2017
                : 1 May 2017
                Page count
                Figures: 4, Tables: 9, Pages: 24
                Funding
                Funded by: Environmental Protection Agency (US)
                Award ID: GLRI GL-00E01289
                Award Recipient :
                Funded by: USEPA (Environmental Protection Agency)
                Award ID: GL-00E01149
                Award Recipient :
                Funded by: USEPA (Environmental Protection Agency)
                Award ID: GL-00E01898
                Award Recipient :
                This study was supported by the USEPA (Environmental Protection Agency) (GLRI GL-00E01289) to Dr. Carol A Stepien; USEPA (Environmental Protection Agency) (GL-00E01149) to Dr. Carol A Stepien; USEPA (Environmental Protection Agency) (GL-00E01898) to Dr. Carol A Stepien. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Ecology and Environmental Sciences
                Species Colonization
                Invasive Species
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Molluscs
                Gastropods
                Snails
                Biology and Life Sciences
                Zoology
                Malacology
                Research and Analysis Methods
                Database and Informatics Methods
                Biological Databases
                Sequence Databases
                Research and Analysis Methods
                Database and Informatics Methods
                Bioinformatics
                Sequence Analysis
                Sequence Databases
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Molluscs
                Bivalves
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Research and Analysis Methods
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Sequence Similarity Searching
                Earth Sciences
                Hydrology
                Surface Water
                Custom metadata
                All relevant data are published in the NIH GenBank and are within the paper and its Supporting Information files. The 16S sequence data from taxonomically identified specimens are deposited in NCBI’s Genbank database (KY426891-KY426915) ( https://www.ncbi.nlm.nih.gov/genbank/). High-throughput sequence data are in NCBI’s Sequence Read Archive under project PRJNA379165 ( https://www.ncbi.nlm.nih.gov/sra/).

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